Optimizing QAOA Circuits for Hardware | Qiskit Tutorial

This tutorial covers advanced techniques for implementing the Quantum Approximate Optimization Algorithm (QAOA) at the utility scale using Qiskit. In this video, we walk through how to build, optimize, and run QAOA for real world optimization problems on real IBM Quantum hardware. This series is designed for quantum computing practitioners who are ready to move beyond basic examples and start running large scale, hardware aware algorithms. We explore how to transition from theory to practical execution, covering algorithm development, circuit optimization, hybrid workflows, and best practices for hardware performance. Whether you are expanding your QAOA skills or preparing to run your own research experiments, this tutorial will help you strengthen your understanding of utility scale quantum computing with Qiskit. Useful links: For an introduction to the QAOA algorithm, see: https://quantum.cloud.ibm.com/docs/en/tutorials/quantum-approximate-optimization-algorithm For more details on the use of a SAT solver to optimize the circuit mapping, see: https://www.jstage.jst.go.jp/article/transfun/E106.A/11/E106.A_2022EAP1159/_article For more background on the use of CVaR for optimization, see: https://www.nature.com/articles/s43588-024-00709-1 Advanced techniques for QAOA tutorial https://quantum.cloud.ibm.com/docs/en/tutorials/advanced-techniques-for-qaoa